Senior Staff Engineer Data Platform Experience Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in memory and storage innovation, accelerating the transformation of information into intelligence. About the Role Join Micron’s STPG Product Engineering team where you will apply advanced analytics, machine learning, and agentic AI to solve complex NAND product engineering and manufacturing challenges. This role focuses on developing data‑driven and AI‑enabled solutions that improve yield, reliability, defectivity, and test time across the NAND product lifecycle—from New Product Introduction (NPI) to High‑Volume Manufacturing (HVM). You will work closely with Product Engineering, Fab, Technology Development, Test, Quality, and System teams to deploy scalable AI solutions into real production workflows. In addition, you will play a key role in enabling and mentoring Citizen Data Scientists (CDS) within Product Engineering, strengthening the organization’s capability to apply machine learning and advanced analytics for domain‑specific problem solving. Key Responsibilities: Machine Learning & Advanced Analytics Development Develop and deploy predictive and diagnost

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives. In this role, you will lead the technical execution of complex customer engagements where synthetic data is used to improve model training, evaluation, and performance. You will translate ambiguous model and data challenges into effective data strategies, build scalable generation and evaluation pipelines, and use experimentation to continuously improve data quality and downstream model outcomes. You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements. Main Responsibilities Synthetic Data Generation & Evaluation Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases Translate model objectives, failure modes, and data gaps into synthetic data strategies, experiments, and technical specifications Develop LLM- and ML-assisted workflows to generate high-quality training and evaluation datasets across targeted behaviors, domains, and edge cases Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, we're not just designing chips. We're building the physical architecture that powers artificial intelligence, accelerates cloud computing, enables autonomous vehicles, and connects the world through mobile and edge devices. Every breakthrough in AI — from large language models to next-generation data centers — runs on memory. And every bit of that memory lives inside a package that someone like you designs! We're looking for a Senior Package Design Engineer who is passionate about sadvanced semiconductor packaging and ready to lead at the intersection of silicon, system, and scale. This is a high-impact, highly visible role where you'll work across the full product lifecycle — from early-stage co-design with silicon teams all the way to High Volume Manufacturing (HVM). If you thrive where precision meets innovation, where your decisions shape products reaching millions of users worldwide, and where your expertise directly influences how the AI era unfolds — this role is for you! Responsibilites: Lead Co-Design from Silicon to System - Partner with silicon design, Business Units, customers, and package architecture teams to define new product concepts from the earliest stages of chip development - Optimize die floorplans, interconnection schemes, and package architectures — from concept to HVM - Drive trade-off studies and architecture decisions for advanced DRAM products targeting AI/D

The Autonomy Behaviors team is responsible for producing our vehicle’s driving trajectory. As a Principal ML Engineer, you will lead the technical development of machine learning algorithms for our next-generation ML Planner. Your impact will range from delivering innovations for immediate milestones to pioneering exploratory projects. You will collaborate closely with teams specializing in Foundation Models, Perception, Simulation, and Safety Validation, in influencing our autonomy stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. In this role, you will: Set the technical direction of ML development for the future of our Planner Push the frontiers of imitation learning, reinforcement learning, and model scaling to develop new ML models for our onboard Planner Identify and drive force-multipliers for ML development, including metrics, data, and training frameworks Develop new methods to leverage Zoox’s Foundation Models into the ML Planner Provide technical mentorship to the broader group of ML developers at Zoox Collaborate with engineers across Autonomy Software, Simulation, System Design and Mission Assurance, and other departments to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Proven track record of technical leadership in large-scale AI organizations Significant experience with training and deploying Deep Learning models to production Fluency in C++ or Fluency in Python with a basic understanding of C++ Extensive experience with programming and algorithm design-Strong mathematics skills, 10+ years of experience Bonus Qualifications Conference or Journal publications in Machine Learning or Robotics related v

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Our Team Micron’s Engineering Tool Development (ETD) group develops advanced software solutions that enable innovation across Micron’s technology development and manufacturing organizations. The team works at the intersection of software engineering, computer vision, and semiconductor technology to deliver tools that improve efficiency, yield, and insight across a broad range of engineering disciplines. Job Summary As a Computer Vision Engineer, you will apply computer vision, image processing, and machine learning techniques to solve complex software problems. You will work with multiple programming languages, frameworks, and disciplines, and you will be encouraged to experiment with new technologies while continuously developing your skills in a fast‑evolving technical environment. As an engineer in the Engineering Tool Development group, you will have the opportunity to work on a broad set of technologies and solutions that enable Micron’s innovation across technology development and manufacturing. Key Responsibilities Design and develop advanced image processing and analysis solutions to extract measurements, perform calculations, and analyze image data. Apply computer vision, image p

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As a Senior/Staff Product Quality and Reliability Assurance Engineer (PQRA), you will support reliability qualification and quality monitoring of High Bandwidth Memory products (HBM), help develop product reliability methodologies, and respond to product deviations as they pertain to quality and reliability. You will establish and implement requirements, specifications and metrics such as Defects per Million (DPM), Failure in Time (FIT), and Lifetime. In this role, you will work with multi-functional Engineering teams to ensure product reliability methods are established and followed, perform risk assessments, and provide support for manufacturing teams regarding reliability issues. In this dynamic role, you will have opportunities to gain new product knowledge on an ongoing basis! You will: Conduct New Product Qualifications Define High Bandwidth Memory (HBM) qualification requirements Comprehend failures and failure rate within the scope of the qualification Perform risk assessment at all decision points within the qualification cycle Review qualification data and sign off that qualification requirements have been met Issue internal product release notifications for Qualification <

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As a Senior/Staff Product Quality and Reliability Assurance Engineer (PQRA), you will support reliability qualification and quality monitoring of High Bandwidth Memory products (HBM), help develop product reliability methodologies, and respond to product deviations as they pertain to quality and reliability. You will establish and implement requirements, specifications and metrics such as Defects per Million (DPM), Failure in Time (FIT), and Lifetime. In this role, you will work with multi-functional Engineering teams to ensure product reliability methods are established and followed, perform risk assessments, and provide support for manufacturing teams regarding reliability issues. In this dynamic role, you will have opportunities to gain new product knowledge on an ongoing basis! You will: Conduct New Product Qualifications Define High Bandwidth Memory (HBM) qualification requirements Comprehend failures and failure rate within the scope of the qualification Perform risk assessment at all decision points within the qualification cycle Review qualification data and sign off that qualification requirements have been met Issue internal product release notifications for Qualification <

Staff/Senior Java Engineer, OKX Wallet (Web3) Who We Are OKX Wallet is OKX's self-custody wallet, built for users worldwide to securely and conveniently store, manage, and use their on-chain assets. The wallet backend operates in a multi-chain, multi-asset, high-concurrency environment shaped by on-chain state uncertainty and strict fund-security requirements — combining the complex-systems challenges of traditional internet backends with the transaction, signing, and on-chain interaction problems unique to blockchain. We're looking for a Senior Java Engineer with roughly 5–10 years of backend experience: someone with strong engineering fundamentals who can independently own core modules, exercise sound judgment on complex problems, and proactively coordinate across upstream and downstream teams to drive work to completion. What You'll Do Own core wallet backend modules. Build and continuously improve address management, asset synchronization, transaction construction, broadcasting, on-chain confirmation, gas estimation, nonce management, and transaction-state tracking. Understand each module's role in the full wallet flow, and keep stability, performance, and maintainability front of mind. For complex requirements, break the problem down before choosing an implementation rather than stacking code or reusing old designs. Build transaction and on-chain interaction scenarios. Work on transfers, token approvals, contract interactions, cross-chain, swaps, DApp connections, and signature-request handling. Understand a transaction's full lifecycle — from initiation through construction, signing, broadcasting, on-chain confirmation, and final state update — and diagnose issues like stuck transactions, duplicate submissions, state inconsistencies, and on-chain success that isn't reflected in the business system, using logs, on-chain data, and call traces. Support multi-chain and new-chain integration. We already support EVM, Tron, and Solana, and continuously onboard new pu

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives. In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance. You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements. Main Responsibilities Computer Use Agents, Data, and Evaluation Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data Build automated evaluators, checks, and measurement frameworks to asse

About Us OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We're backed by Accel, Lightspeed, NfX and other top-tier investors. Role Overview We're hiring a Staff Engineer to own the architecture of OpenFX's trading and hedging core — the systems that price a client's trade, execute it, and manage the risk we take on as a result. Two teams sit inside this scope: Trading owns the client's entire trade experience — quote generation, pricing strategy, the spread engine, and the trade lifecycle across GUI, API, and soon conversational AI. Its north star is Total Payment Volume, with Gross Revenue as the control metric. Hedging owns inventory and exposure management, risk management, hedging across venues through smart routing, market making, and WAC / PnL / net revenue calculation. You will be the senior-most individual contributor across both, responsible for the Client Trading Engine, Pricing Engine, Risk Management Engine, and Smart Hedging. This is a hands-on role. You will write code, set architectural direction, and be the person the organisation trusts to get the trade and risk path right. The problems here are genuinely hard and often under-defined. You'll take large architectural bets in a domain where correctness is measured in real money and latency is measured on a live client trade. Key Responsibilities Own the architecture of the Client Trading Engine, Pricing Engine, Risk Management Engine, and Smart Hedging. Break complex, ambiguous systems into smaller components with clear contracts, clear scope, and independent deliverability. Set and

Salary Range: (Determined during interview process, based on technical fit for each level of role) Staff Engineer - PLN 350,700 - 474,400 + Benefits + Equity Senior Engineer - PLN 260,400 - 352,200 + Benefits + Equity Subject to alignment to the responsibilities and duties of the role. Location: Gdańsk - Hybrid Working Policy - 3 Days per week in office About the job Explore how a next-generation AI architecture behaves from rack scale to data centre scale. As a Senior Systems Engineer, you will investigate a novel AI computing architecture under demanding real-world workloads. You will turn complex system behaviour into measurable evidence. You will design experiments, benchmark representative AI workloads and explore how hardware components and software interact at scale. When behaviour is unexpected, you will turn uncertainty into new measurements. Your work will help infrastructure engineers, architects and application specialists understand performance, scalability and reliability across the stack. You will also help develop tooling and automation to collect, analyse and visualise system metrics. You do not need to be an AI expert. You will need strong judgement, a clear preference for evidence over opinion and a desire to explore complex systems beyond the obvious. The team and culture The System QA team is distributed across multiple locations so we work deliberately to stay connected. Daily team meetings create space to share ideas, ask questions, discuss findings and solve problems together. You will have regular 1:1s with your people manager where you will have the opportunity to discuss things that matter to you. You will have dedicated time each week to focus on your CPD. The technical lead will provide direction and help set priorities, but everyone in the team is there to support each other. Decisions are guided by evidence, clear communication and a willingness to challenge assumptions. Your manager will trust you to follow the evidence w

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Senior HBM Customer Systems Validation Engineer at Micron Technology, Inc., you will: Be responsible for system-level validation, failure analysis, characterization, and experimentation of customer systems Run and configure diagnostic software, design experiments, analyze and interpret data, creating custom tools (Hardware and Software), presenting data to customers both inside and outside Micron Provide technical customer integration support at customer locations. To accomplish these responsibilities, you will use a variety of equipment (oscilloscopes, logic analyzers, signal generators, multi-meters, etc.) Work with customers and memory enablers like GPU manufacturers to attain design wins and qualifications of Micron memory products in their applications You will work with other engineers within the HBM team, Product Engineering, FAE, Quality Assurance, and business unit teams Debug Micron Product Customer Failures Provide technical support to customers and the field sales Utilize diagnostics to reproduce the original failure Identify failure mechanism Collaborate with Product Engineering and Return Material Authorization (RMA) </l

Who we are Lab37 Robotics is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our industry. About the role Lab37 is hiring an industrial engineer specializing in discrete-event simulation to optimize robotic food-production systems. You will model end-to-end production flow (including equipment, labor, material movement, queues, capacity, and operating policies) to identify bottlenecks, evaluate system designs, and guide capital and operational decisions. Beginning with our Bowl Builder and expanding across the full kitchen, your models will help teams understand tradeoffs and make confident decisions about what to build next. You will own the technical direction for industrial-engineering simulation at Lab37, including choosing tools, setting modeling standards, conducting time studies, characterizing empirical inputs, validating models against operating data, and integrating simulation into product and operations planning. Working closely with our hardware, robotics, and operations teams in Pittsburgh, you will turn complex physical systems into trusted decision-making tools. This is a senior/staff-level individual contributor role with the opportunity to establish a capability central to how Lab37 designs, tests, deploys, and operates its systems. What you'll do Industrial engineering and simulation Build discrete-event simulation models of the Bowl Builder and broader kitchen systems, representing equipment, labor, material flow, queues, buffers, failures, and operating policies under realistic demand. Map production processes, conduct time studies, and characterize stochastic i

About the Role Chime serves millions of members on a mission to help them unlock financial progress. Growth Engineering builds the product surfaces and systems that turn that mission into measurable outcomes for members — running fast, data-informed experiments to acquire, activate, and deepen member relationships at scale. This role sits on our Early Stage Experience area, focused on the beginning of the member journey — the first experiences that turn new sign-ups into engaged, active members. It's high-volume, high-stakes work where small improvements compound, and the systems behind it have to be both quick to experiment on and dependable at scale. As a Staff Software Engineer, you'll operate as a subject matter expert and technical leader across the Growth stack. You'll shape the architecture and technical strategy for high-traffic, member-facing systems, influence product direction, and drive cross-team initiatives that measurably move growth outcomes while raising the engineering bar across the org. You will leverage the capabilities of AI and LLMs to improve the productivity of the org, personalize member experience and speed up decision making. In this role, you can expect to Lead the design and implementation of high-impact, member-facing systems across the Growth stack Set the technical vision for high-traffic systems with a scalable, forward-looking approach that meets Chime's reliability and latency standards Drive experimentation strategy and execution by building the systems and habits to test, learn, and iterate quickly — without sacrificing durability Identify and solve systemic challenges in performance, availability, and conversion-critical reliability across the Growth stack Collaborate closely with Product, Design, Analytics, and Data to shape product direction and ensure technical feasibility and excellence Mentor senior engineers, elevate engineering practices, and drive consistency in quality, architecture, and code craftsmanship across teams

We are seeking a highly skilled Staff NetSuite Engineer with deep expertise in Order-to-Cash(O2C) & Record-to-Report (R2R) processes and accounting best practices. This role will serve as the technical and functional bridge between Finance and Technology, driving automation, process optimization, and scalability within our NetSuite environment.The successful candidate will lead the design, enhancement, and support of accounting systems that power our General Ledger (GL), Record-to-Report (R2R), Accounts Payable (AP), Accounts Receivable (AR), including credit card process, Tax, and Treasury operations. As a senior member of the Finance Technology team, you will design and implement solutions that streamline accounting workflows, ensure compliance, and enhance financial reporting accuracy. We are looking to speak to candidates who are based in New York City, NY or Palo Alto, CA or remotely in the United States. Key Responsibilities System Architecture & Development Lead the design, configuration, and customization of NetSuite to support R2R and accounting processes (GL, journals, allocations, consolidations, fixed assets, intercompany eliminations) Architect scalable NetSuite solutions that integrate seamlessly with upstream and downstream systems (e.g., procurement, billing, expense management, data lake) Develop and maintain SuiteScript, SuiteFlow, SuiteTalk (Web Services), and RESTlets to support automation and integrations Process & Accounting Alignment Partner with Finance, Accounting, and Audit teams to translate accounting policies into system-enforced controls within NetSuite Act as the primary point of contact for Finance teams including Accounting, Tax, Treasury and RevOps Ensure compliance with SOX, GAAP, and audit requirements through configuration of role-based security, approvals, reconciliations, and audit trails Optimize financial close processes (journals, reconciliations, accruals, consolidations) to reduce close cycle time Build and enh